{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rBPLbmLN2plz"
   },
   "source": [
    "# 🔍 Search Within and Image\n",
    "\n",
    "![“A Dog”.png]()\n",
    "### Leveraging the SAM and CLIP models, we employ natural language queries to seamlessly segment, crop, and pinpoint the nearest match for an object."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Installing dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "LlQ3CRbiO0iY",
    "outputId": "71ce7903-93ba-430d-aea5-00a8005d5127"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting git+https://github.com/facebookresearch/segment-anything.git\n",
      "  Cloning https://github.com/facebookresearch/segment-anything.git to /tmp/pip-req-build-2fwtu0fi\n",
      "  Running command git clone --filter=blob:none --quiet https://github.com/facebookresearch/segment-anything.git /tmp/pip-req-build-2fwtu0fi\n",
      "  Resolved https://github.com/facebookresearch/segment-anything.git to commit 6fdee8f2727f4506cfbbe553e23b895e27956588\n",
      "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "Building wheels for collected packages: segment-anything\n",
      "  Building wheel for segment-anything (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for segment-anything: filename=segment_anything-1.0-py3-none-any.whl size=36587 sha256=7bcd600b68024d6961c11ce285ba75b81f7511d45614fae681d1575b88060669\n",
      "  Stored in directory: /tmp/pip-ephem-wheel-cache-saey51gc/wheels/10/cf/59/9ccb2f0a1bcc81d4fbd0e501680b5d088d690c6cfbc02dc99d\n",
      "Successfully built segment-anything\n",
      "Installing collected packages: segment-anything\n",
      "Successfully installed segment-anything-1.0\n",
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      "Successfully installed ftfy-6.1.3 open_clip_torch-2.23.0 sentencepiece-0.1.99 timm-0.9.12\n",
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      "      Successfully uninstalled pyarrow-9.0.0\n",
      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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      "\u001b[0mSuccessfully installed deprecation-2.1.0 lancedb-0.3.4 overrides-7.4.0 py-1.11.0 pyarrow-14.0.1 pylance-0.8.17 ratelimiter-1.2.0.post0 retry-0.9.2 semver-3.0.2\n"
     ]
    }
   ],
   "source": [
    "# install all the neccessary libraries\n",
    "!pip install git+https://github.com/facebookresearch/segment-anything.git\n",
    "!pip install open_clip_torch\n",
    "!pip install lancedb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "IYttys6h2Six"
   },
   "outputs": [],
   "source": [
    "# making all the imports, for a cleaner code structure\n",
    "import cv2\n",
    "import lancedb\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import open_clip\n",
    "import os\n",
    "from PIL import Image, Image as PIL_Img\n",
    "import pandas as pd\n",
    "import requests\n",
    "import torch\n",
    "import uuid\n",
    "from IPython.display import Image, display"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load SAM weights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "45s-QPuIOr9x"
   },
   "outputs": [],
   "source": [
    "# load the weights for SAM, using ViT-H model\n",
    "url = \"https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth\"\n",
    "response = requests.get(url)\n",
    "\n",
    "with open(\"sam_vit_h_4b8939.pth\", \"wb\") as f:\n",
    "    f.write(response.content)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialize database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "sM7NzQ4Bi9-s"
   },
   "outputs": [],
   "source": [
    "# initialize the database\n",
    "uri = \"data/sample-lancedb\"\n",
    "db = lancedb.connect(uri)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 871,
     "referenced_widgets": [
      "35369da031fd451eb62cc77dab556081",
      "0e9a5d43ab4b4df581ce7c703119d7bc",
      "f502125fa6fa4e8095a24b02e7a194c3",
      "823c4490b4cf47709f3655e8813aa36e",
      "3341a80c4d9346bd8e72fd0e2a51597a",
      "ffbe0cdd906843cb94bb0b8eabc24b9b",
      "88f11d9669084b20ae8884170d3cb1f9",
      "9a89ff8e26744c10b81f17a4df2bc192",
      "155eaa7617834c2a85d8393b03cd6e9a",
      "6115036a971247c59320e11046839b2c",
      "556c7d05452647e3a6e2826bb6e6a2b9"
     ]
    },
    "id": "9HI8_wKTkxJ1",
    "outputId": "7bd8188e-11ec-4290-9dca-990b76d3391d"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "35369da031fd451eb62cc77dab556081",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "open_clip_pytorch_model.bin:   0%|          | 0.00/605M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "CLIP(\n",
       "  (visual): VisionTransformer(\n",
       "    (conv1): Conv2d(3, 768, kernel_size=(32, 32), stride=(32, 32), bias=False)\n",
       "    (patch_dropout): Identity()\n",
       "    (ln_pre): LayerNorm((768,), eps=1e-05, elementwise_affine=True)\n",
       "    (transformer): Transformer(\n",
       "      (resblocks): ModuleList(\n",
       "        (0-11): 12 x ResidualAttentionBlock(\n",
       "          (ln_1): LayerNorm((768,), eps=1e-05, elementwise_affine=True)\n",
       "          (attn): MultiheadAttention(\n",
       "            (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)\n",
       "          )\n",
       "          (ls_1): Identity()\n",
       "          (ln_2): LayerNorm((768,), eps=1e-05, elementwise_affine=True)\n",
       "          (mlp): Sequential(\n",
       "            (c_fc): Linear(in_features=768, out_features=3072, bias=True)\n",
       "            (gelu): GELU(approximate='none')\n",
       "            (c_proj): Linear(in_features=3072, out_features=768, bias=True)\n",
       "          )\n",
       "          (ls_2): Identity()\n",
       "        )\n",
       "      )\n",
       "    )\n",
       "    (ln_post): LayerNorm((768,), eps=1e-05, elementwise_affine=True)\n",
       "  )\n",
       "  (transformer): Transformer(\n",
       "    (resblocks): ModuleList(\n",
       "      (0-11): 12 x ResidualAttentionBlock(\n",
       "        (ln_1): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
       "        (attn): MultiheadAttention(\n",
       "          (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True)\n",
       "        )\n",
       "        (ls_1): Identity()\n",
       "        (ln_2): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
       "        (mlp): Sequential(\n",
       "          (c_fc): Linear(in_features=512, out_features=2048, bias=True)\n",
       "          (gelu): GELU(approximate='none')\n",
       "          (c_proj): Linear(in_features=2048, out_features=512, bias=True)\n",
       "        )\n",
       "        (ls_2): Identity()\n",
       "      )\n",
       "    )\n",
       "  )\n",
       "  (token_embedding): Embedding(49408, 512)\n",
       "  (ln_final): LayerNorm((512,), eps=1e-05, elementwise_affine=True)\n",
       ")"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load the CLIP model, ViT-B-32\n",
    "model, _, preprocess = open_clip.create_model_and_transforms(\n",
    "    \"ViT-B-32\", pretrained=\"laion2b_s34b_b79k\"\n",
    ")\n",
    "tokenizer = open_clip.get_tokenizer(\"ViT-B-32\")\n",
    "model.eval()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Image embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "PZidVRdCpuDs"
   },
   "outputs": [],
   "source": [
    "# function to get the image embeddings\n",
    "def get_image_embeddings_from_path(file_path):\n",
    "    # Load the image from the file path\n",
    "    image = preprocess(Image.open(file_path)).unsqueeze(0)\n",
    "    # Encode the image\n",
    "    with torch.no_grad():\n",
    "        embeddings = model.encode_image(image)\n",
    "    embeddings = embeddings.squeeze()  # to squeeze the embeddings into 1-dimension\n",
    "    return embeddings.detach().numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "ncMKPUuKjHz1"
   },
   "outputs": [],
   "source": [
    "# utility function to download image, given the link\n",
    "def download_image(url):\n",
    "    response = requests.get(url)\n",
    "    img_dir = uuid.uuid4().hex[:6]\n",
    "    os.makedirs(img_dir)\n",
    "    file_path = img_dir + \"/\" + \"index\" + \".jpg\"\n",
    "    with open(file_path, \"wb\") as f:\n",
    "        f.write(response.content)\n",
    "    return img_dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "id": "Z-BL-67wjKW9"
   },
   "outputs": [],
   "source": [
    "# load SAM\n",
    "from segment_anything import SamAutomaticMaskGenerator, sam_model_registry\n",
    "\n",
    "sam = sam_model_registry[\"vit_h\"](checkpoint=\"sam_vit_h_4b8939.pth\")\n",
    "\n",
    "\n",
    "# extract the segmentation masks from the image\n",
    "def get_image_segmentations(img_path):\n",
    "    input_img = cv2.imread(img_path)\n",
    "    input_img = cv2.cvtColor(input_img, cv2.COLOR_BGR2RGB)\n",
    "    mask_generator = SamAutomaticMaskGenerator(sam)\n",
    "    masks = mask_generator.generate(input_img)\n",
    "    return masks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create images from new segmentation masks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "dcgUo9MwjMDS"
   },
   "outputs": [],
   "source": [
    "# crop the into segmentation masks, and create new images\n",
    "def crop_image_by_seg(image, segmentation):\n",
    "    \"\"\"\n",
    "    Input:\n",
    "        image: np.array,\n",
    "        segmentation : np.array\n",
    "\n",
    "    \"\"\"\n",
    "    binary_mask = segmentation.astype(int)\n",
    "\n",
    "    # Create a white canvas of the same size as the image\n",
    "    white_canvas = np.ones_like(image) * 255\n",
    "\n",
    "    # Apply the binary mask to the original image and white canvas\n",
    "    cropped_image = np.where(binary_mask[..., None] > 0, image, white_canvas)\n",
    "    return cropped_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "ArowodgHjNKG"
   },
   "outputs": [],
   "source": [
    "# utility function to crop the image using bounding boxes\n",
    "def crop_image_with_bbox(image, bbox):\n",
    "    X, Y, W, H = bbox\n",
    "    cropped_image = image[Y : Y + H, X : X + W]\n",
    "\n",
    "    return cropped_image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Composite function to call all functionalities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "hoj_VJycjPG8"
   },
   "outputs": [],
   "source": [
    "# composite call to the functions to create the segmentation mask, crop it, embed it and finally index it into LanceDB\n",
    "def index_images_to_lancedb(img_uuid):\n",
    "    img_path = img_uuid + \"/index.jpg\"\n",
    "    source_img = cv2.imread(img_path)\n",
    "    segmentations = get_image_segmentations(img_path)  # get the segmentations\n",
    "\n",
    "    for index, seg in enumerate(segmentations):\n",
    "        cropped_img = crop_image_with_bbox(\n",
    "            crop_image_by_seg(source_img, seg[\"segmentation\"]), seg[\"bbox\"]\n",
    "        )  # crop the image by bbox\n",
    "        c_img_path = img_uuid + \"/{}.jpg\".format(index)\n",
    "        cv2.imwrite(c_img_path, cropped_img)\n",
    "        embeddings = get_image_embeddings_from_path(\n",
    "            c_img_path\n",
    "        )  # embed the image using CLIP\n",
    "        seg[\"embeddings\"] = embeddings\n",
    "        seg[\"img_path\"] = c_img_path\n",
    "        seg[\"seg_shape\"] = seg[\"segmentation\"].shape\n",
    "        seg[\"segmentation\"] = seg[\"segmentation\"].reshape(-1)\n",
    "\n",
    "    seg_df = pd.DataFrame(segmentations)\n",
    "    seg_df = seg_df[\n",
    "        [\n",
    "            \"img_path\",\n",
    "            \"embeddings\",\n",
    "            \"bbox\",\n",
    "            \"stability_score\",\n",
    "            \"predicted_iou\",\n",
    "            \"segmentation\",\n",
    "            \"seg_shape\",\n",
    "        ]\n",
    "    ]\n",
    "    seg_df = seg_df.rename(columns={\"embeddings\": \"vector\"})\n",
    "    tbl = db.create_table(\n",
    "        \"table_{}\".format(img_uuid), data=seg_df\n",
    "    )  # index the images into table\n",
    "    return tbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "iBfWEtWk53ZC"
   },
   "outputs": [],
   "source": [
    "# flatten the list\n",
    "def flatten_list(lst):\n",
    "    return [item for sublist in lst for item in sublist]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Query the database using Natural Query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "id": "DntBbVdWjTDk"
   },
   "outputs": [],
   "source": [
    "# find the image using natural language query\n",
    "def search_image_with_user_query(vector_table, img_id, user_query):\n",
    "    text = tokenizer(user_query)\n",
    "    k_embedding = model.encode_text(text).tolist()  # Use tolist() instead of to_list()\n",
    "    # Flatten k_embedding to a List[float]\n",
    "    k_embedding_list = flatten_list(k_embedding)\n",
    "\n",
    "    target = vector_table.search(k_embedding_list).limit(1).to_pandas()\n",
    "    segmentation_mask = cv2.convertScaleAbs(\n",
    "        target.iloc[0][\"segmentation\"].reshape(target.iloc[0][\"seg_shape\"]).astype(int)\n",
    "    )\n",
    "\n",
    "    # Dilate the segmentation mask to expand the area\n",
    "    dilated_mask = cv2.dilate(\n",
    "        segmentation_mask, np.ones((10, 10), np.uint8), iterations=1\n",
    "    )\n",
    "\n",
    "    # Create a mask of the surroundings by subtracting the original segmentation mask\n",
    "    surroundings_mask = dilated_mask - segmentation_mask\n",
    "\n",
    "    # Create a highlighted version of the original image\n",
    "    path = \"{}/index.jpg\".format(img_id)\n",
    "    highlighted_image = cv2.imread(path)\n",
    "    highlighted_image[surroundings_mask > 0] = [253, 218, 13]\n",
    "\n",
    "    cv2.imwrite(\"{}/processed.jpg\".format(img_id), highlighted_image)\n",
    "\n",
    "    # Display the image\n",
    "    display(Image(filename=\"{}/processed.jpg\".format(img_id)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "psFyfvmeoiel"
   },
   "outputs": [],
   "source": [
    "url = \"https://w0.peakpx.com/wallpaper/600/440/HD-wallpaper-john-wick-with-mustang.jpg\"\n",
    "img_uuid = download_image(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "oFaHZC53oeil",
    "outputId": "fdf36b7a-3930-4ca3-9647-069ba2b3af4b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "079698\n"
     ]
    }
   ],
   "source": [
    "print(img_uuid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "id": "H3fJJPysokjN"
   },
   "outputs": [],
   "source": [
    "tbl = index_images_to_lancedb(img_uuid)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Search within Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 635
    },
    "id": "-aZutCk8W1gc",
    "outputId": "ac289fcb-ac7e-47bb-b859-3e28da7a424c"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-34-9e56bc3147b0>:15: DeprecatedWarning: to_df is deprecated as of 0.3.1 and will be removed in 0.4.0. Use to_pandas() instead\n",
      "  target = vector_table.search(k_embedding_list).limit(1).to_df()\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_image_with_user_query(tbl, img_uuid, \"a dog\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0E58_lpfNPN8"
   },
   "source": [
    "# Display the Segmentation Masks (Optional)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "id": "l5ZybM4cAE0q"
   },
   "outputs": [],
   "source": [
    "# load the image\n",
    "img_path = \"/content/079698/index.jpg\"\n",
    "ans = get_image_segmentations(img_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "ts--uOJAE15T",
    "outputId": "0d545e5b-6616-4e13-9fc1-69c5d8a5736a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 1 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 41611\n",
      " - Bounding Box: [107, 306, 568, 159]\n",
      " - Predicted IOU: 1.0235613584518433\n",
      " - Point Coordinates: [[237.5, 391.03125]]\n",
      " - Stability Score: 0.9665665626525879\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 2 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 41712\n",
      " - Bounding Box: [107, 142, 568, 322]\n",
      " - Predicted IOU: 1.0185126066207886\n",
      " - Point Coordinates: [[112.5, 372.84375]]\n",
      " - Stability Score: 0.962044358253479\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 3 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 36694\n",
      " - Bounding Box: [331, 64, 132, 439]\n",
      " - Predicted IOU: 1.0150949954986572\n",
      " - Point Coordinates: [[362.5, 245.53125]]\n",
      " - Stability Score: 0.9721011519432068\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 4 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ...  True  True  True]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 365699\n",
      " - Bounding Box: [0, 2, 799, 577]\n",
      " - Predicted IOU: 1.0133819580078125\n",
      " - Point Coordinates: [[712.5, 9.09375]]\n",
      " - Stability Score: 0.988547146320343\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 5 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 4585\n",
      " - Bounding Box: [160, 383, 77, 72]\n",
      " - Predicted IOU: 1.0104466676712036\n",
      " - Point Coordinates: [[187.5, 409.21875]]\n",
      " - Stability Score: 0.9850842952728271\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 6 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 9504\n",
      " - Bounding Box: [418, 359, 119, 145]\n",
      " - Predicted IOU: 1.0063835382461548\n",
      " - Point Coordinates: [[462.5, 427.40625]]\n",
      " - Stability Score: 0.9682473540306091\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 7 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [ True  True  True ...  True  True False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 250489\n",
      " - Bounding Box: [0, 2, 799, 390]\n",
      " - Predicted IOU: 1.0047119855880737\n",
      " - Point Coordinates: [[462.5, 245.53125]]\n",
      " - Stability Score: 0.9785979986190796\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 8 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 1996\n",
      " - Bounding Box: [172, 394, 48, 50]\n",
      " - Predicted IOU: 1.0041521787643433\n",
      " - Point Coordinates: [[212.5, 409.21875]]\n",
      " - Stability Score: 0.991008996963501\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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AIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAjW7egHsuBURMbST+/bp0ydqa2vbbW9ubo4PP/xwh477fxHRsEP3AKCzBLkHGhoR+3V25w0bPh4dGNRVCwLgcxPkHqw5It781NeVSiV69+4dAwYMiD1qa6NSqXR6rhIRTU1NsW7duti0aVOUUlpv2zciql21aAA6VjopPv6dbSQYqyJK+eTfLdtqa2vLvHnzOvvj3Kb58+eX2trabR7PMAzD6PzoDGfIu4GvfOUrceGFF8Z5553XJfNdcsklUalU4nvf+15s2rSpS+YEYNsEuYebPHly3HvvvbH33nt32Zy9evWK6dOnRyklrrjiioiPPuqyuQHomMueerBKRFxzzTVdGuMtqtVqXHLJJTFmzJgunxuA9iqfvD68/R134A1CdK9V8fG7rP87cGDUrV3brT+bl19+OfofdlgM3bw5Xo+I4d12JIDdV2dS6wy5B+vbr1+3/6E0atSo6Nu3b7ceAwBB7tGqvXbOj69fv3475TgAX2SC3APt7JcPvFwB0P0EuQfa2YGsVn0sCEB3E2S2y/kxQPcTZABIQJABIAFBBoAEBBkAEhBkAEhAkHugTn7aKQA9iCD3QDs7yJubm3fq8QC+iAS5B9tZWW4WZIBuJ8g92OZNm7r9GC0tLfHBunXdfhyALzpB7sHWffBBtx/jpptuig1NTd1+HIAvOkHuwTZs2BD33Xdft82/evXquPXWW7ttfgD+P0HuwUop8YMf/CD++9//dvncb775ZpxxxhmxatWqLp8bgPYEuYd77bXXYtq0aV0a5ZaWlpg9e3YsX768y+YEYNsEuYcrpcQDDzwQF154YSxbtuxzz7d69eqYMmVKLFq0qAtWB0CnlU6Kj6+yMRKMVRGlfPLvp7cPHDiw3HPPPWXNmjWd/bG22rRpU/npT39axowZ0+njGYZhGJ0bneqsIPe8sa1AViqVMnbs2LJgwYKyfv36ToX4gw8+KD/5yU9Kr169dvh4hmEYxvZHZ1Q+ie12VSr+b+qzWBUR+0VEc0S8uY39ampqon///lFTUxN71Na2uW3Dhg3R3NISG5ua4qMNG6KlpeV/zrNvRFQj4vWIGP65Vw/wxdOZ1NbshHXQTarxcZj/p82bI9au7fCmPp/8WxcRg7p2WQB8BoLcA/3fF+y4AF8EnrIGgG7WmdS67AkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASqOnsjqWU7lwHAHyhOUMGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAE/h9joNlwg/oVxwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 9 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [ True  True  True ...  True  True  True]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 113716\n",
      " - Bounding Box: [0, 392, 799, 187]\n",
      " - Predicted IOU: 1.0034291744232178\n",
      " - Point Coordinates: [[137.5, 427.40625]]\n",
      " - Stability Score: 0.9641968011856079\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 10 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 16281\n",
      " - Bounding Box: [340, 256, 101, 226]\n",
      " - Predicted IOU: 1.0015268325805664\n",
      " - Point Coordinates: [[362.5, 372.84375]]\n",
      " - Stability Score: 0.9821080565452576\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 11 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 12259\n",
      " - Bounding Box: [330, 120, 133, 175]\n",
      " - Predicted IOU: 0.9962115287780762\n",
      " - Point Coordinates: [[462.5, 190.96875]]\n",
      " - Stability Score: 0.9634341597557068\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 12 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 2184\n",
      " - Bounding Box: [509, 396, 61, 69]\n",
      " - Predicted IOU: 0.9904167652130127\n",
      " - Point Coordinates: [[537.5, 427.40625]]\n",
      " - Stability Score: 0.9650537371635437\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 13 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 622\n",
      " - Bounding Box: [358, 482, 38, 21]\n",
      " - Predicted IOU: 0.9883782267570496\n",
      " - Point Coordinates: [[387.5, 500.15625]]\n",
      " - Stability Score: 0.9935794472694397\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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ABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABKoPNsLgI+7NRHRpYVzy+VylFowr4iIAwcORETEPyKi/sSWBiQiyHCadYmI7i2d/L/IAp88ggxnyKGI2H6Mx2pqaqJdu3YtOjo+rNi+PUoNDadgZUAGggxnyPaI6HHEWKtWreLuu++Ou+66K0rl8nFtr9S9e8Sbb56y9QFnlyDDWVIul2P69Olx1113Rfk4Ywx8/AgynAWVlZUxffr0mDt3bpRKx3OiGvi4EmQ4C2bOnBmzZs0SY6CRIMMZVFlZGTNnzozvfe97UVnp1w/4f/4iwBlSLpfjyaVL4/rrrz/pGBdFEXv37o22p2htwNnnTl1whtTW1saIESNOOsbbtm2LGTNmxK5du07RyoAMHCHDGXIq3i1+4403Yty4cbFy5cqYcgq2B+ThCBnOAQcPHoy1a9fGzTffHCtXrjzbywFOg1JRFEWLJvo0KJyQrfH+rTOLVq2i1LXrR85vKIqID/xaHjx0KP7973/H3r17m8zrGhEVEfFGNL/hCJBLS1LrlDWcIaWGhhbdWevI01bliOh4WlYEZCLIcJr94xzfPnBmOGUNAKdZS1LrQ10AkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJVLZ0YlEUp3MdAPCJ5ggZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQAS+D84uYzMmWLWLAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 14 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 560\n",
      " - Bounding Box: [402, 478, 25, 26]\n",
      " - Predicted IOU: 0.9865313172340393\n",
      " - Point Coordinates: [[412.5, 481.96875]]\n",
      " - Stability Score: 0.9822379946708679\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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SEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASKO/oAYDTY1NEXHTM7Z7V1fFeY2McPHjwhNsURdH87zcjouaMTQecjCBDJ3FRRAw8dsG//x09O2gWoP0EGTqZwxHx78rK6NWr10nXLSKi2LUruhxzpAx0DEGGTuaNiLj3pptixYoVJ123FBGlgQMjdu4843MBH8ybuqATKisr6+gRgHYSZOhkSqVSfOMb3+joMYB2csoaOplSRPS88MKOHgNoJ0fI0Ml06949unXr1tFjAO0kyNDJVFZWRteuXTt6DKCdBBk6mQsqKjp6BOAUCDJ0EqVSqaNHAD4EQYZO4lRfNz7wAR+tCZw9ggznuQ/6rGvg7BFkAEhAkKGTOHDgQEQc+Xxq4Nzjg0Ggkzh8+HBEHPljEf93zB+WKJVK0aNHjyiVStH43z/HWF5eHt26dYsDBw5E93fe6ZiBgRYEGTqZLkUR1fv3t1z43+h2++/XURecraGAkxJk6CTe7ODtgQ+nVBRt+0OornEEgFPTltR6UxcAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkEB5W1csiuJMzgEA5zVHyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkMD/A0vscBQXNmJXAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 15 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 361\n",
      " - Bounding Box: [660, 383, 16, 31]\n",
      " - Predicted IOU: 0.9778174161911011\n",
      " - Point Coordinates: [[662.5, 409.21875]]\n",
      " - Stability Score: 0.9863013625144958\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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AEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEggfZtPQAAZ58OHTpERERDQ0OUUtp4mnODIANwXFsjotd7vm/Xrl107tw56urqIiLijTfeiEOHDkVExP9FxPAzPuG5Q5ABOK5eEdHnvQsaGyPefvt/XxHRsy2GOkcJMgAndCQiXomIXr16RfuqqmaPlVdeiUpjY5vMdS4RZABO6JWI6F9VFc9t3BgDBgxo/mCfPhEvv9wmc51LXGUNQKvMmjUr+vbt22J5pQ1mORcJMgCtcv755zddXc2pJ8gAnFClUolx48a19RjnNEEG4IQqlUqMGTOmrcc4pwkyACdUVVUVlcqx3y32sSCnhiADcEK1tbXRsWPHYz525MiRMzzNuUmQATghF3OdfoIMwAlVf0CQGxoazuAk5y5BBuAjefv/f4wmH40gA/ChlVIi/LWnU0KQAfjQtmzZEu+8805bj3FOEGQAjqvdcW51iojYt29fLF682G1Pp4g/LgHAcbVr1y7iGLc17d+/P6677rpYt25dG0x1bnKEDMBxNbwvxqWUeOSRR+KrX/2qGJ9ilVJa92788T6hBYBz1+6I6BMRjZVKvFlTE++8804cOXIk3puOT0ZEVUT8KyJa/i0oIiJak1qnrAE4oXalxHlvvdXWY5zTBBmA4/q/07QuLTllDQCnWWtS66IuAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIIH2rV2xlHI65wCAjzVHyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkMD/A2a5hyCkAVKlAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 16 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 326\n",
      " - Bounding Box: [106, 385, 20, 25]\n",
      " - Predicted IOU: 0.9736118316650391\n",
      " - Point Coordinates: [[112.5, 391.03125]]\n",
      " - Stability Score: 0.9878787994384766\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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AkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAlUH+wFZLYiIk6qqoraurqo6dChabyUEu+++26UiNi5c2eUUprt938RMbRdVwrAoU6QP0KviOi1a1fE5s0ttnVq/+UAcBgT5I/QpXPniK1bI446KuKEE1qds2PnznjjjTciIuKEiKhqx/UBcPgQ5I/w/vvvf/CPE06IWLeu1Tmvv/ZanHrqqbFjx45YGxEntd/yADiMeFHXR2jc47nh1lRXV0fXrl3bYTUAHM4EuQ0+KssnnnhiTJ8+vd3WAsDhSZDboOnW9V5UV7vzD8AnI8ht8N6778batWv3un3y5Mlx7LHHtuOKADjcCHIbbN+xI+bOnRuNjY2tbu/bt2907NixnVcFwOFEkNtowYIF8dvf/rbVbVVVVTFixIh2XhEAhxNBbqP3338/fvazn8WmTZtabKuqqoorrrgiKpXKQVgZAIcDQd4HTz75ZEyfPj3ee++9FttGjRoVHT708ZoAsC8EeR8tXbo0Fi9e3Oq2zp18oCYA+0eQ98OcOXPi8ccfbzHeUZAB2E+Vsud/VbS3iUfg86O7PwpzV0S8vse2zp07R/du3Zo9LuX116PS2BjrIqJP+y0TgOTaklqfaNEGVdHKZ1Rv3frB14cceX+yAHCgCPJH+L923g+AI5db1gDwP9aW1HpRFwAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkUN3WiaWU/+U6AOCI5goZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQAS+H+Uf65s8Wx8pQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 17 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 1781\n",
      " - Bounding Box: [376, 135, 22, 113]\n",
      " - Predicted IOU: 0.966787576675415\n",
      " - Point Coordinates: [[387.5, 172.78125]]\n",
      " - Stability Score: 0.972421407699585\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 18 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 1149\n",
      " - Bounding Box: [358, 479, 69, 25]\n",
      " - Predicted IOU: 0.9562665224075317\n",
      " - Point Coordinates: [[362.5, 500.15625]]\n",
      " - Stability Score: 0.9666666388511658\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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IAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQALV+3sC8L9uRUT02A/7rVQqn/p8KaXZ47cjYuhenA/w6QQZ9rIeEXHk/tjxdsEFchNk2Ee2RsRbO1mnc3191NbWxtbGxvjggw92GNUSEZs3b97hduo6dYpDDjlkp3Nq2Lo1Km+/HVU7XRPY60obxcffAywWyy4uqyNK+f9/d7RO+/bty8yZM0tDQ0Ob3o9btmwpU6dO3eH2pk2b1ta3dtnSo8dO52exWHZvaQsf6oL9rF27dnH55ZfHVVddFVVVbTtWra6ujkmTJsXhhx++2/uvbuM+gb1LkGE/ateuXVx55ZUxc+bMaNdu196OQ4YM2SNBBnIQZNhPampq4oorrogrrrgiampqPtM2evbs2WKsqqoqevTYH5/rBnZLW68zRYJz8BbLgbi0dg25urq6zJw5szQ2Nrb5Wm9rlixZ0mJ/RxxxRHn//ffbvpGePV1Dtlj28tIWPmUN+8GMGTNi1qxZO71XeGdKK5/CnjFjRtTX1+/WdoF9T5BhH6quro4ZM2bET37yk6iu3v2339y5c5s9Pv744+Pss8/e7e0C+54gwz7Svn37eGDhwjj99NN3O8allFiwYEEsX7682fgRRxwRXbp02aVtfbRpU3TYrdkAe0RbLzNFgnPwFsuBuGy7hrylR4+2X9f9FG+88Ua59NJLS8eOHZvtZ/DgweXVV1/d5e39p0sX15Atlr28tIUjZNhHdvd+31JK/OEPf4jrrrsuli5d2uL5gQMHRp8+fXZrH8D+I8hwAGhoaIgbbrghZs2aFZs2bWp1nXXr1sV//vOfqKur28ezA/YEQYZ9pLGxMdavXRsdOnSIjh07tni+lBLr1q1rMX7jjTfGiy++GPfee29s3bp1h9tftGhRXHzxxTF37tyora1tdR+tKf4IBaRQKW18N+7u7RnwebU6Pv5rT1sj4u1KJWpqaqJDh5YfoyqlxH8++CC2f0PuajAr2+2jUqlEx44do5QSGzdubLF+xw0boioi/hURvXZpT0BbteV9LMiwl20LcnaCDHtPW1LrlDXsZW/v7wm00YEyT/hf5QgZAPaytqTWH5cAgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABKobuuKpZS9OQ8A+FxzhAwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAn8H+NxRfoE7hzGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 19 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 688\n",
      " - Bounding Box: [533, 407, 20, 46]\n",
      " - Predicted IOU: 0.9507281184196472\n",
      " - Point Coordinates: [[537.5, 427.40625]]\n",
      " - Stability Score: 0.9715505242347717\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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AIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJFDV2QMAdLaKioqorq6OiIjGxsbYs2dPJ09EORJkoCytjogB//1z1y5dok/v3hERsXv37njvvfdi165dbV7vfyOirkMmpNyUiqIo2rVhqXS4ZwHoMA0RceynuN7rETH4EM/C5197UusIGShrjRGxrWvX6NevX+x/2LF7z57YunVrNDY2xsCIqOyE+Sgf3tQFlLU3I2Lg3r2x7M47I15/vcVX9Vtvxea//CXOGDw43uzsQfncE2Sg7DU2NkZjY2Obl40ZMyaGDx/ewRNRjgQZ4ACmT5/e2SNQBgQZKHsVFRVRUfHxD4ennHJKB05DuRJkoOyNHz8+6uvrP/by4cOHR48ePTpwIsqRIANlr1u3bs0fDNKWysrKqKpyUgqHlyADZe/SSy894DY1NTUdMAnlTJCBsjd27NjOHgF8MAhQ3nr06BH/M3RoZ48BjpCB8lZRURFdunTp7DFAkIHy1q1bt84eASJCkIEy90nvroaOJMgAkIAgA7RD0dTU2SPwOSfIQFlr7//1/n/vvXeYJ6HcCTJQ1tqT4/feey/27t172GehvAkywAG89tpr8cEHH3T2GHzOCTLAASxdurSzR6AMCDLAJ3jttdfi3nvv7ewxKAOCDPAxGhoaYvLkyfHSSy919iiUAZ9lDdCGHTt2xKRJk+LZZ5/t7FEoE46QgbJUUfHxD39NTU3xxz/+MdauXdtxA1H2HCEDZamysjKijQ/7aGhoiG9961vx3HPPOdWJDlUqiqJo14btPHke4EjwZlVVDNi7N6KiImLgwNjb2Bg7d+6MnTt3thnigRFRGRGvR8Tgjh6WI157UusIGShLzdFtaop4442oiohe//2CziDIQFn63w6+HhyIp6wB4DBrT2q9yxoAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEqtq7YVEUh3MOAChrjpABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASCB/wfZGOCYhoTgOAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 20 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 1329\n",
      " - Bounding Box: [544, 454, 120, 15]\n",
      " - Predicted IOU: 0.9482901692390442\n",
      " - Point Coordinates: [[562.5, 463.78125]]\n",
      " - Stability Score: 0.9732142686843872\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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kIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJFDd1QsAyGRlRDR0cm5N9+7Rq7Z2r69hy+bN0dLaWjFWFMVe38+e+L+IaOzqRfyHEmSA92mIiMGdnbxzZ8TGjXt9Db33+hbZHwgyQAdaIuKND3iupqYm+vfvH9VVVftySWU7duyId//9h0BRFLFz585PfJ8HR0TX/LSfHoIM0IE3ImLILmO1tbXxxS9+MW6//faoHrLrs/tOTUQc9O//3rBhQyxbsuQjX/PMM8/EwoULy4937NgR69ev7/Q+m2I3zhywR0pFJy9MlEqlT3otAF2uLTxrozLIdXV18etf/zqmTp0a3bt375rFfQytra0VR9KvvPJK3HbbbdHc3Bw33HBDbN68uWJ+URTR0tJSfvxB7wud05nUCjLA+3QUnjPOOCOuueaaGDx4cHTr9p93c8ratWujubm5Yuztt9+OH/3oR+WQ/M///m8c3NIiyHtIkAF2065BnjJlStx0003Rr1+/rl1YF9v5X/8V3d96S5D3UGdS6xoyQAdqa2tjwX//d0yfPj369OnT1cvpMjt37oxt27ZF7X/gmYFsBBmgAzU1NdGjR49YsWJFTJw4sUvW0NLSEnfccUds2bLlA+cMHDgwJk+evNf3/Yc//CGampriiSeeiDvvvDNWv/tuDNrre+H9nLIGeJ+2U9Zttz2VSqWorv7wY5dSqRR9+vTZa78n39u0qfzFIB91S1Nn1rfr/I7W2tLcHO+974Ndzc3NFadZ2257csp6z7iGDLCb3N7z4QR5z7iGDLCb/q+rF5Cc9+eT4wgZAD5hnUmtj80BQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJVHd2YlEUn+Q6AOBTzREyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAk8P8AmjFDEIRjtEwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 21 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 1707\n",
      " - Bounding Box: [374, 71, 36, 61]\n",
      " - Predicted IOU: 0.9459723234176636\n",
      " - Point Coordinates: [[387.5, 118.21875]]\n",
      " - Stability Score: 0.967797577381134\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 22 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 911\n",
      " - Bounding Box: [369, 63, 48, 54]\n",
      " - Predicted IOU: 0.9456807971000671\n",
      " - Point Coordinates: [[412.5, 81.84375]]\n",
      " - Stability Score: 0.9581095576286316\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 23 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 1359\n",
      " - Bounding Box: [439, 313, 43, 38]\n",
      " - Predicted IOU: 0.93308025598526\n",
      " - Point Coordinates: [[462.5, 318.28125]]\n",
      " - Stability Score: 0.9680927991867065\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 24 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 647\n",
      " - Bounding Box: [439, 324, 32, 25]\n",
      " - Predicted IOU: 0.9214211106300354\n",
      " - Point Coordinates: [[462.5, 336.46875]]\n",
      " - Stability Score: 0.9754977226257324\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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AJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJBA+bEeAJDXmojoHRGliGhXVhaNjY1HvM03IqLmiLcCnz2CDBxU74g4dd+DTyDGwMEJMnBo7dpF9OkTxf8eFkURe/bsiYiIvXv3RsP77zfPO5g+EVH2aY4RjnOCDBxanz4Rr78epf89LEVEp//9u3HXroj6+nj22Wfj97//fTzxxBNRV1fXahOb40NH20ArpaIoDvXG9oMFS6VDLwR8pjRHtG/fiNdfb9M6mzZtirfeeiteeOGFuPvuu6Moili3bl3UNTbGqRHxekT0+/SGDCm1JbWCDBzUxwny/hoaGmLp0qUx+rLLondDgyBzQmpLal32BHyqysvL46tf/Wp07dr1WA8FUhNk4Kg4qaLiWA8BUhNk4KjwsRd8NEEGgAQEGQASEGQASECQgaOiTddXwglMkIFPRVNTUzQ2NkZjY2OsW7cudu3adayHBKm5dSZwxDZs2BCbNm1qftzU1BQLFiyI7du3R0TE22+/Hc/t2RPdjtUA4TjgTl3AQe27U1fRrl009OwZERGNjY3xn//8p8VyDQ0Nh/zTjPv+uIQ7dXEiaktqHSEDh1Rqaor2b74ZERHtI+LkYzsc+EwSZOCg3jhOtgmfBU5ZA8CnzB+XAIDjhCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACRQ3tYFi6L4NMcBACc0R8gAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJDA/wEVrwNuf5ROCwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 25 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 224\n",
      " - Bounding Box: [301, 328, 16, 15]\n",
      " - Predicted IOU: 0.8966742157936096\n",
      " - Point Coordinates: [[312.5, 336.46875]]\n",
      " - Stability Score: 0.969298243522644\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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ZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASCB6vZeAJwIlZWV0alTp+b7TU1N0djY2I4rAmhJkPlMWx8RvSOia21t1NXVNY+/d/hw7H/77SilxMGDB6OUEhER/xMRDe2yUuBUV1GO/E/0YRMrKj7ttcAnbkdEnH0c81+NiL6f0lqAU1dbUusImc+0ysrKiKamiMrKiLPOet95Tbt2RWXb/jYF+FQIMqeGs86KePXV9334vTPPjMrXXz+BCwJoyVXWAJCAIANAAoLMZ1obr1mMdw4e/JRXAvDBBJnPtCNBbvqAMG/fvj0OHDhwopYEcEwu6uKUUHbtird79ozOnTtHVWVlNJUShw4dirfeeis6vfde1L/3XnsvETjFCTKnhKqIqN27t/l+ZUR0/r8bQAaCzGfa/3zK8wE+KX6pCwA+ZW1JrYu6ACABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIoLqtE0spn+Y6AOCU5ggZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQAS+F8QVELeCa3NBwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 26 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 185\n",
      " - Bounding Box: [454, 362, 17, 16]\n",
      " - Predicted IOU: 0.8845255970954895\n",
      " - Point Coordinates: [[462.5, 372.84375]]\n",
      " - Stability Score: 0.9945945739746094\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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AkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEqjr7AUA+7bFEXFYTU3U1LT9+76UEtu3b283/38jomXvLA32KYIMfCSHVSpxWGtrRGtrZy8F9mmCDHwkraVERESpqYnKoYe2e+6fmzbFhjffjEMjorYT1gf7Cp8hA3vEazU18ef/+Z+Il1+u/tSsWRM1a9fGmMGD45XOXiAkJ8jAHrF127aYNWtWu/GuXbvG3Llzo0uXLp2wKth3CDKwxzz99NO7HD/yyCOjuWfPvbwa2LcIMrBX1NW5ZAXejyADe8XWrVs7ewmQmiADH7utW7fGxnfe6exlQGqCDOwxr732WqxcubLN2NatW+PrX/96vCPI8L4qpfzrJsIPmlipfNxrAfZBqyPi8IjYHhGvxHufFR944IFRiYjtra3xj7ffjq3btlXvQ345Ivp23nKhU3Qkta6yAPaI2ngvzLFtW8Trr1fHu3XWgmAfI8jAR/K/H/N8+KRwyhoAPmYdSa2LugAgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABIQZABIQJABIAFBBoAEBBkAEhBkAEhAkAEgAUEGgAQEGQASEGQASECQASABQQaABAQZABKo6+jEUsrHuQ4A+ERzhAwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAn8H8p51Y7njEAOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation 27 Info:\n",
      " - Segmentation Mask:\n",
      "[[False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " ...\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]\n",
      " [False False False ... False False False]]\n",
      " - Area: 477\n",
      " - Bounding Box: [121, 439, 53, 15]\n",
      " - Predicted IOU: 0.8811061382293701\n",
      " - Point Coordinates: [[162.5, 445.59375]]\n",
      " - Stability Score: 0.9590163826942444\n",
      " - Crop Box: [0, 0, 800, 582]\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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QgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJBAeXsv4Gi3ISL6HsbtderUKUqlUhRFEQ0NDR85/5WIqD2M+wegfQjyIeobEccdzg22IcIAfPoI8mHSGBGvlEpRKpWiqqoqSqXSfudVVFRERUVFRETsf0Zr23fsiLfffrvFWL+IKPv4ywUgGUE+RJ2POSbinXci+vWLTk8+GaVSKbr27PmhQf44Or75Zvzvf/93XHjhhc1h3hyH+cgcgHblTV2HqEuXLhERUdahQ/Tu3Tt69ep1WGMcEVFdXR3nnHNOfOELXzis2wUgD0E+RE1FERERjU1NsX379k9sPx07doybb745Ro0a9YntA4D2UyqK/yvKR008zEd9nxZ7Tx1viYixgwbFhRde2HzbjBkzYsiQIRERUVZ2eF7xfemll+JrX/ta/M/GjXFcRPw7IgYcli0D8ElpS2oF+RDtDfL+wti3b9/mU9pLliyJmpqa/W6jR48eMXbs2Dbvs76+PjoPHRr/9e67ggxwFBDkI+BAQW6r7t27R21t66uJx40bF3Pnzo2BAwe2um1Xz55RuXOnIAMcBQT5CNgb5MaIePkT2H5ZWVl07tw5IiK6VlVFqcP7L/uXXnklSk1NggxwFGhLal32dJiUxSd0GVJjY8Rbb73//d5/AfjUEeRD9MpnfP8AHB5OWQPAJ6wtqXUdMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACQgyACQgyACQgCADQAKCDAAJCDIAJCDIAJCAIANAAuVtnVgUxSe5DgD4THOEDAAJCDIAJCDIAJCAIANAAoIMAAkIMgAkIMgAkIAgA0ACggwACfw/6CHPF2sew1YAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "# display function\n",
    "def display_segmentations(segmentations):\n",
    "    for i, seg_info in enumerate(segmentations):\n",
    "        print(f\"Segmentation {i+1} Info:\")\n",
    "        print(f\" - Segmentation Mask:\\n{seg_info['segmentation']}\")\n",
    "        print(f\" - Area: {seg_info['area']}\")\n",
    "        print(f\" - Bounding Box: {seg_info['bbox']}\")\n",
    "        print(f\" - Predicted IOU: {seg_info['predicted_iou']}\")\n",
    "        print(f\" - Point Coordinates: {seg_info['point_coords']}\")\n",
    "        print(f\" - Stability Score: {seg_info['stability_score']}\")\n",
    "        print(f\" - Crop Box: {seg_info['crop_box']}\")\n",
    "        print(\"\")\n",
    "\n",
    "        # Create a binary image from the segmentation mask\n",
    "        binary_mask = np.array(seg_info[\"segmentation\"], dtype=np.uint8) * 255\n",
    "\n",
    "        # Display the image and overlay the segmentation mask\n",
    "        plt.figure(figsize=(6, 6))\n",
    "        plt.imshow(binary_mask, cmap=\"gray\")\n",
    "        plt.title(f\"Segmentation {i+1}\")\n",
    "        plt.axis(\"off\")\n",
    "\n",
    "        # Draw bounding box\n",
    "        rect = plt.Rectangle(\n",
    "            (seg_info[\"bbox\"][0], seg_info[\"bbox\"][1]),\n",
    "            seg_info[\"bbox\"][2],\n",
    "            seg_info[\"bbox\"][3],\n",
    "            linewidth=2,\n",
    "            edgecolor=\"r\",\n",
    "            facecolor=\"none\",\n",
    "        )\n",
    "        plt.gca().add_patch(rect)\n",
    "\n",
    "        plt.show()\n",
    "\n",
    "\n",
    "# Call the function with your segmentation results\n",
    "display_segmentations(ans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Cxw0EJPc8WM6"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "gpuType": "T4",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
